Fast and customizable framework for automatic ML model creation (AutoML)

Towards Generalized and Efficient Blackbox Optimization System/Package (KDD 2021 & JMLR 2024)

State-of-the art Automated Machine Learning python library for Tabular Data

DeepArchitect: Automatically Designing and Training Deep Architectures

Final Year Btech Face recognition Attendance System Project with code and Documents. Video Implementation with explanation too. Base IEEE paper Implementation

A general, modular, and programmable architecture search framework

【数据科学家系列课程】

Generalized and Efficient Blackbox Optimization System.

Package: R Interface to AutoKeras

Auto ML for the tidyverse

Khiops is an AutoML suite for supervised and unsupervised learning

mlim: single and multiple imputation with automated machine learning

An automatic machine learning system

Comparison of automatic machine learning libraries

The Python library of the Khiops AutoML suite

This repo holds the code, dataset, and running scripts for fast k-means evaluation

Registered Software. Official code of the published article "Automatic design of quantum feature maps". This quantum machine learning technique allows to auto-generate quantum-inspired classifiers by using multiobjetive genetic algorithms for tabular data.

Awesome papers on AutoML (Automatic Machine Learning)

EzStacking: From data to Kubernetes thru Scikit-Learn, FastAPI and Docker in a few clicks and command lines!

Smart Process Analytics (SPA) is a software package for automatic machine learning. Given user-input data (and optional user preferences), SPA automatically cross-validates and tests ML and DL models. Model types are selected based on the properties of the data, minimizing the risk of data-specific variance.